<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">GM</journal-id><journal-title-group><journal-title>Geomaterials</journal-title></journal-title-group><issn pub-type="epub">2161-7538</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/gm.2015.51001</article-id><article-id pub-id-type="publisher-id">GM-52491</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Applying Empirical Methods to Assess the Internal Stability of Embankment Dam Cores of Glacial Till
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>ans</surname><given-names>Rönnqvist</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Peter</surname><given-names>Viklander</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, Lulea, Sweden</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>hans.ronnqvist@ltu.se(AR)</email>;<email>peter.viklander@ltu.se(PV)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>23</day><month>12</month><year>2014</year></pub-date><volume>05</volume><issue>01</issue><fpage>1</fpage><lpage>18</lpage><history><date date-type="received"><day>18</day>	<month>October</month>	<year>2014</year></date><date date-type="rev-recd"><day>15</day>	<month>November</month>	<year>2014</year>	</date><date date-type="accepted"><day>8</day>	<month>December</month>	<year>2014</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  This paper presents a database of glacial till gradations that are compiled from laboratory internal stability tests from the literature and from core soils of existing dams, some of which have experienced internal erosion. The potential internal instability of these gradations is assessed using empirical methods. Two approaches of evaluation are used: the Kenney-Lau method, which analyzes the shape of the gradation curve; and the Burenkova method, which uses factors of uniformity of the slope of the gradation. Although they include some uncertainties in terms of soils with fines, these methods, which are primarily developed from laboratory studies of sand and gravels, are used in engineering practice to evaluate widely graded soils that include fines, such as glacial tills. This study evaluates the glacial till gradations of the database using these approaches and discusses their applicability and relative predictive success. This study indicates that both the Kenney-Lau method and the Burenkova method have merit, but a closer analysis indicates that the Kenney-Lau approach has relatively better predictive ability based on the glacial till gradations analyzed in this study.
 
</p></abstract><kwd-group><kwd>Internal Stability</kwd><kwd> Internal Erosion</kwd><kwd> Cores</kwd><kwd> Glacial Tills</kwd><kwd> Embankment Dams</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Glacial till, which is a moraine deposit that is formed by glacial action, is commonly used to form impervious cores of embankment dams. When designed and constructed properly, glacial till is highly suitable for dam cores [<xref ref-type="bibr" rid="scirp.52491-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref2">2</xref>] . However, these cores have a statistically higher frequency of internal erosion incidents than dams with other types of core soils [<xref ref-type="bibr" rid="scirp.52491-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref4">4</xref>] . Typical symptoms of internal erosion include sinkholes and settlements on the crest, increased seepage and cloudy seepage [<xref ref-type="bibr" rid="scirp.52491-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref5">5</xref>] . Internal erosion occurs when soil particles are carried downstream by seepage. ICOLD [<xref ref-type="bibr" rid="scirp.52491-ref6">6</xref>] recognizes four mechanisms of initiation: concentrated leak erosion, backward erosion, contact erosion and suffusion. The overrepresentation of glacial till cores in internal erosion incidents is possibly due to the erodibility of glacial till. One mechanism that may influence internal erosion is suffusion due to internal instability. Suffusion erodes free moving fines inside a soil and can change the geotechnical properties of the soil [<xref ref-type="bibr" rid="scirp.52491-ref6">6</xref>] .</p><p>Based on engineering practice, Sherard [<xref ref-type="bibr" rid="scirp.52491-ref7">7</xref>] attributed the notably high frequency of sinkhole formations in dams with this type of core to the internal instability of the glacial till. However, few laboratory studies have been performed, and little data are available. Nonetheless, the internal stability of glacial tills has been investigated by Lafleur and Nguyen [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>] , Wan [<xref ref-type="bibr" rid="scirp.52491-ref9">9</xref>] , Moffat et al. [<xref ref-type="bibr" rid="scirp.52491-ref10">10</xref>] , Hunter et al. [<xref ref-type="bibr" rid="scirp.52491-ref11">11</xref>] and Lilja et al. [<xref ref-type="bibr" rid="scirp.52491-ref12">12</xref>] , who report that instability may indeed occur in glacial tills.</p><p>This study compiles a database of 24 gradations of glacial till that includes gradations identified in the literature review of laboratory internal stability tests on glacial tills by R&#246;nnqvist and Viklander [<xref ref-type="bibr" rid="scirp.52491-ref13">13</xref>] (reproduced after [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>] - [<xref ref-type="bibr" rid="scirp.52491-ref12">12</xref>] ) as well as gradations of glacial till from the cores of existing dams, some of which have experienced internal erosion (reproduced after [<xref ref-type="bibr" rid="scirp.52491-ref14">14</xref>] ). This study assesses the potential internal instability of these gradations using empirical methods. Two approaches of evaluation are used: the Kenney-Lau method [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref16">16</xref>] , which analyzes the shape of the gradation curve; and the Burenkova method [<xref ref-type="bibr" rid="scirp.52491-ref17">17</xref>] , which uses characteristic values of the slope of the gradation (factors of uniformity). These methods, which are primarily developed from laboratory studies of sand and gravel, are used in engineering practice to analyze widely graded soils that contain fines, such as glacial tills. This may cause some uncertainty. The glacial till gradations of the database are evaluated using these approaches, and their applicability and relative predictive success when they are used to analyze gradations that are different from those that are originally tested are discussed.</p></sec><sec id="s2"><title>2. Glacial Tills</title><p>Moraine formations are created by the pulling, crushing, mixing and transport forces generated by the advancement and regression of glaciers. Glacial till, which is collected from moraine deposits, has been widely used as fill for the impervious cores of dams [<xref ref-type="bibr" rid="scirp.52491-ref7">7</xref>] . Till is relatively similar throughout the world; is it typically broadly or widely graded with a mixture of contents that ranges from fines to boulders (<xref ref-type="fig" rid="fig1">Figure 1</xref>). In the field of dam engineering, ICOLD [<xref ref-type="bibr" rid="scirp.52491-ref18">18</xref>] defines glacial till as “an unsorted material of glacial origin (…) used as foundations and</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Typical broadly graded glacial soils used as impervious cores in dams (after [<xref ref-type="bibr" rid="scirp.52491-ref21">21</xref>] )</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x5.png"/></fig><p>as the impervious zone of earth and rockfill dams”. ICOLD [<xref ref-type="bibr" rid="scirp.52491-ref18">18</xref>] continues by stating that the composition and grain size distribution generally depend on the source rock and the overburden over which the glacier moves; granite, granitic gneiss and similar hard and massive rocks develop tills with a sandy silt matrix, whereas softer sedimentary rocks, such as limestone and shale, develop a clayey matrix. As reported by Milligan [<xref ref-type="bibr" rid="scirp.52491-ref19">19</xref>] , softer sedimentary bedrock in Canada generally forms tills with high plasticity fines (as in the Canadian western prairie provinces), whereas harder igneous and metamorphic bedrock forms tills with non-plastic or low plasticity fines (such as in eastern Canada). Examples from other regions include the clayey matrix of British glacial tills [<xref ref-type="bibr" rid="scirp.52491-ref20">20</xref>] and the low-clay and generally non-plastic glacial tills in Scandinavia [<xref ref-type="bibr" rid="scirp.52491-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref2">2</xref>] . North American glacial tills that are used as dam cores are relatively fines-rich with fines contents of 20% to 70%. Scandinavian tills typically contain 15% to 60% fines, and glacial tills in Russian dams are fines-poor with fines contents of 5% to 20% [<xref ref-type="bibr" rid="scirp.52491-ref18">18</xref>] . Fines content is the amount passing the #200 sieve (0.075 mm).</p></sec><sec id="s3"><title>3. Internal Instability and Erosion by Suffusion</title><p>A soil that is internally stable has a gradation in which all of the particles contribute to the skeletal structure of the soil. The gradation is illustrated by the particle size distribution of the soil, which shows the relative amount by mass that is contributed by the soil particles. An unstable gradation has an imbalance in the distribution of particles so that the soil is divided into a coarser fraction and a finer fraction; the coarser fraction becomes structural with few highly stressed particle contacts, whereas the finer fraction is non-structural with no effective stress transfer between grains. Thus, in internally unstable soils, the finer fraction comprises moveable and potentially erodible particles.</p><sec id="s3_1"><title>3.1. Geometrical Requirements for Suffusion</title><p>Suffusion is an internal erosion process that is caused by internal instability and involves the “selective erosion of finer particles from the matrix of coarser particles (…) leaving behind a soil skeleton formed by the coarser particles” [<xref ref-type="bibr" rid="scirp.52491-ref6">6</xref>] . For suffusion to occur, the finer fraction of the soil must be less than the available void space in the coarser fraction [<xref ref-type="bibr" rid="scirp.52491-ref22">22</xref>] . A soil that consists predominately of a finer fraction (i.e., a matrix-supported soil) is thus not susceptible to suffusion because the coarser grains are not in grain-to-grain contact but float in the matrix of the finer fraction.</p><p>Several opinions on the limit value of the finer fraction for suffusion susceptible soil have been presented in the literature. Wan and Fell [<xref ref-type="bibr" rid="scirp.52491-ref22">22</xref>] argued that the limit is between 22% and 33% and is unlikely to be higher than 40% based on tests on broadly graded samples, while Skempton and Brogan [<xref ref-type="bibr" rid="scirp.52491-ref23">23</xref>] estimated the limit as 35%. Kenney and Lau [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] empirically determined the limit to be 20% based on the lost particles of the unstable widely graded soils that they tested. A widely graded soil is most likely not susceptible to suffusion unless the finer fraction is less than approximately 25% to 35%. According to ICOLD [<xref ref-type="bibr" rid="scirp.52491-ref6">6</xref>] , the finer fraction is determined from the inflection point of the gradation; i.e., the change in slope from the initial slope of the coarse fraction to its transition to the finer fraction (<xref ref-type="fig" rid="fig2">Figure 2</xref>(a)). This transition may be difficult to identify. Applications of this procedure to fines-rich and fines-poor glacial till gradations are shown schematically in <xref ref-type="fig" rid="fig2">Figure 2</xref>(b).</p></sec><sec id="s3_2"><title>3.2. Effects of Suffusion</title><p>Although suffusion has been reported to increase the permeability [<xref ref-type="bibr" rid="scirp.52491-ref6">6</xref>] , laboratory studies also indicate that suffusion results in clogging with zones of low permeability, increased gradients and pore pressure build-up [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref24">24</xref>] . Furthermore, Moffat et al. [<xref ref-type="bibr" rid="scirp.52491-ref10">10</xref>] found that suffusion occurred as the “episodic migration of the finer fraction” with no change in volume but a “relatively small and slow change in local hydraulic conductivity”.</p></sec></sec><sec id="s4"><title>4. Internal Stability Criteria</title><sec id="s4_1"><title>4.1. Shape Analysis Methods for Internal Stability Assessment</title><p>Kezdi [<xref ref-type="bibr" rid="scirp.52491-ref25">25</xref>] and Sherard [<xref ref-type="bibr" rid="scirp.52491-ref7">7</xref>] independently proposed theoretical methods to assess internal stability by splitting the gradation into a fine part and a coarse part (i.e., D<sub>15</sub>/d<sub>85</sub> = 4) to evaluate the self-filtering ability of the soil. However, the split-gradation approaches were not substantiated by laboratory testing. From the outset of the USACE [<xref ref-type="bibr" rid="scirp.52491-ref26">26</xref>] filter experiments, Kenney and Lau [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref16">16</xref>] studied the internal stability of sand and gravel</p><fig-group id="fig2"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Determining the finer fraction: (a) Illustration reproduced from ICOLD [<xref ref-type="bibr" rid="scirp.52491-ref6">6</xref>] showing a gap-graded soil and coarsely graded soil; and (b) Schematic showing the application of the ICOLD finer-fraction procedure to fines-rich versus fines-poor glacial till gradations (after [<xref ref-type="bibr" rid="scirp.52491-ref13">13</xref>] ).</title></caption><fig id ="fig2_1"><label>(b)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x6.png"/></fig><fig id ="fig2_2"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x7.png"/></fig></fig-group><p>specimens in a laboratory setting with permeameter experiments, and Li and Fannin [<xref ref-type="bibr" rid="scirp.52491-ref27">27</xref>] adapted it to include the Kezdi [<xref ref-type="bibr" rid="scirp.52491-ref25">25</xref>] split-gradation method. Burenkova [<xref ref-type="bibr" rid="scirp.52491-ref17">17</xref>] used a different approach to study suffusion susceptibility by dry mixing various fractions and identifying volume changes that occur when finer fractions are introduced. However, Wan and Fell [<xref ref-type="bibr" rid="scirp.52491-ref22">22</xref>] discovered that previous attempts to test the internal stability of soils did not include soils with silt or clay; most of the investigations were on cohesionless sand-gravel mixtures or coarse granular materials, so they conducted seepage tests on clay-silt-sand-gravel and silt-sand-gravel mixtures. Wan and Fell [<xref ref-type="bibr" rid="scirp.52491-ref22">22</xref>] subsequently found that the approach of Burenkova [<xref ref-type="bibr" rid="scirp.52491-ref17">17</xref>] provided satisfactory predictions when analyzing specimens that contain silt.</p><p>The approaches by Kenney and Lau [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref16">16</xref>] and Burenkova [<xref ref-type="bibr" rid="scirp.52491-ref17">17</xref>] , with the respective adaptations by Li and Fannin [<xref ref-type="bibr" rid="scirp.52491-ref27">27</xref>] and Wan and Fell [<xref ref-type="bibr" rid="scirp.52491-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref28">28</xref>] , are discussed further in the following sections.</p></sec><sec id="s4_2"><title>4.2. The Kenney-Lau Method and Li-Fannin Adaptation</title><p>Based on tests of cohesionless sands and gravels that contain particles up to 100 mm without a silt fraction, Kenney and Lau [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] concluded that soils that experience a loss of fine-grained particles have unstable gradations and conversely that the gradation is stable where there is no loss of particles. Kenney and Lau [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref16">16</xref>] then proposed a method for evaluating the potential for grading instability; they deduced stable versus unstable gradations based on the shape of the particle size distribution with a limiting-shape curve of H = 1.0F. The method involves determining the mass fraction of particle sizes between D and 4D (denoted by H) and the passing weight at the particle size D (i.e., F); a deficiency in the number of particles of a certain fraction (between D and 4D) will potentially allow for the erosion of particles that are finer than D. For widely graded materials (C<sub>u</sub> &gt; 3), the evaluation range is passing weights of 0 to 20%, which is the maximum range for loose particles in such a soil according to Kenney and Lau [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] . Thus, a stability index H/F of less than one indicates that a soil is deficient in the finer fraction and is potentially internally unstable. The evolution of the Kenney and Lau approach is covered in R&#246;nnqvist and Viklander [<xref ref-type="bibr" rid="scirp.52491-ref29">29</xref>] .</p><p>Li and Fannin [<xref ref-type="bibr" rid="scirp.52491-ref27">27</xref>] proposed extending the approach of Kenney and Lau [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref16">16</xref>] to include the criterion of Kezdi [<xref ref-type="bibr" rid="scirp.52491-ref25">25</xref>] . These methods are similar; both examine the slope of the grading curve over a certain length. As reported by Li and Fannin [<xref ref-type="bibr" rid="scirp.52491-ref27">27</xref>] , the Kezdi criterion is incremental over the percentage that is finer by mass, whereas the Kenney-Lau criterion is incremental over the grain size. <xref ref-type="fig" rid="fig3">Figure 3</xref> shows the application of the Kenney-Lau method and Li-Fannin adaptation and how to generate the stability index (H/F)<sub>min</sub> from the H:F- shape curve.</p></sec><sec id="s4_3"><title>4.3. The Burenkova Method and Wan-Fell Adaptations</title><p>Burenkova [<xref ref-type="bibr" rid="scirp.52491-ref17">17</xref>] , who tested cohesionless sand-gravel soils with C<sub>u</sub> = d<sub>60</sub>/d<sub>10</sub> values up to 200 and particle sizes up to 100 mm and some silt fractions (less than 10% fines), dry mixed a coarse fraction while gradually introducing a finer fraction. No net change to the volume of the sample indicated that the finer fraction was part of the loose particles and thus susceptible to suffusion. Conversely, an increase in volume would indicate that the finer fraction belongs to the soil skeleton and is therefore structural; thus, it is not susceptible to suffusion. Three soil grain sizes (i.e., d<sub>90</sub>, d<sub>60</sub> and d<sub>15</sub>) were identified, and a predictive method for assessing the suffusive or non-suffusive characteristics of soils were proposed by combining these sizes into factors of uniformity h' and h&quot; (i.e., d<sub>90</sub>/d<sub>15</sub> and d<sub>90</sub>/d<sub>60</sub>, respectively), which define the boundaries for suffusive and non-suffusive soils (<xref ref-type="fig" rid="fig4">Figure 4</xref>) [<xref ref-type="bibr" rid="scirp.52491-ref17">17</xref>] .</p><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Illustration of the Kenney-Lau method. The inset shows the H:F-shape curve and stability index and the Li-Fannin adaptation (adapted after [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref27">27</xref>] )</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x8.png"/></fig><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> Illustration of the Burenkova method with the Wan-Fell adaptation with contours of the probability of internal instability superimposed (adapted after [<xref ref-type="bibr" rid="scirp.52491-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref22">22</xref>] )</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x9.png"/></fig><p>Based on downward and upward flow seepage tests on clay-silt-sand-gravel and silt-sand-gravel mixtures that are rich in fines, Wan and Fell [<xref ref-type="bibr" rid="scirp.52491-ref22">22</xref>] determined that the Burenkova method gave reasonable correlations to their seepage tests. They adapted the method to include a probabilistic approach that incorporated contours of the probability of internal instability (<xref ref-type="fig" rid="fig4">Figure 4</xref>). When the Wan-Fell [<xref ref-type="bibr" rid="scirp.52491-ref22">22</xref>] contours are superimposed over the Burenkova [<xref ref-type="bibr" rid="scirp.52491-ref17">17</xref>] boundaries and zones (<xref ref-type="fig" rid="fig4">Figure 4</xref>), the Wan-Fell adaptation is shown to partly cross over into the Burenkova non-suffusive zone.</p><p>Wan and Fell [<xref ref-type="bibr" rid="scirp.52491-ref28">28</xref>] subsequently proposed an alternative method for broadly graded soils. They found that gradations that are uniformly graded in the coarse fraction (i.e., steep slope) and broadly graded in the finer fraction (i.e., flat slope) were likely to be internally unstable but were not necessarily predicted to be by the Burenkova method. This alternative method uses the same characteristic D<sub>90</sub>/D<sub>60</sub> value for the coarser fraction but combines it with a value of D<sub>20</sub>/D<sub>5</sub> for the finer fraction.</p></sec></sec><sec id="s5"><title>5. Database of Glacial Till Gradations</title><sec id="s5_1"><title>5.1. Experimental Database of Gradations</title><p>In a literature review of laboratory internal stability tests, five studies that involved glacial tills and laboratory suffusion tests were identified [<xref ref-type="bibr" rid="scirp.52491-ref13">13</xref>] . These were the investigations by Lafleur and Nguyen [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>] , Wan [<xref ref-type="bibr" rid="scirp.52491-ref9">9</xref>] , Moffat et al. [<xref ref-type="bibr" rid="scirp.52491-ref10">10</xref>] , Hunter et al. [<xref ref-type="bibr" rid="scirp.52491-ref11">11</xref>] , and Lilja et al. [<xref ref-type="bibr" rid="scirp.52491-ref12">12</xref>] , which all incorporated glacial till samples that were either related to, or directly sourced from, dam core zones or transitions.</p><p>Compiling these gradations results in an experimental database that includes 11 gradations (<xref ref-type="fig" rid="fig5">Figure 5</xref>), whose characteristics are summarized in <xref ref-type="table" rid="table1">Table 1</xref>; of these, seven gradations are internally unstable according to laboratory tests (i.e., S7, S10, C-20, C-30, CG3, Mr3 and Mr19). Using seepage tests with a gradient of 10, Lafleur and Nguyen [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>] found that cohesionless broadly graded glacial tills with fines content up to 12% (with D<sub>max</sub> of 38 mm) were susceptible to suffusion, but tills with higher fines content were not susceptible (<xref ref-type="table" rid="table1">Table 1</xref>). Wan [<xref ref-type="bibr" rid="scirp.52491-ref9">9</xref>] found that when subjected to a constant gradient of 8, a glacial till with 20% fines (with D<sub>max</sub> of 4.75 mm) is not susceptible to suffusion. Moffat and Fannin [<xref ref-type="bibr" rid="scirp.52491-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref30">30</xref>] observed suffusive characteristics in a glacial soil with non-plastic fines up to 30% (with D<sub>max</sub> of 20 mm). Furthermore, based on seepage tests, Lilja et al. [<xref ref-type="bibr" rid="scirp.52491-ref12">12</xref>] reported internal instability in glacial tills with fines between 25% to 35% (with D<sub>max</sub> of 30 mm). While investigating global backward erosion, Hunter et al. [<xref ref-type="bibr" rid="scirp.52491-ref11">11</xref>] found that the coarse test grading CG3 experienced backward erosion but concluded that suffusion most likely indirectly influenced the process.</p>Characteristics of Gradations<p>The studied gradations comprise glacial till soils with the fines content (passing 0.075 mm when regraded on the</p><fig id="fig5"  position="float"><label><xref ref-type="fig" rid="fig5">Figure 5</xref></label><caption><title> Compilation of glacial till gradations from laboratory internal stability tests (after [<xref ref-type="bibr" rid="scirp.52491-ref13">13</xref>] )</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x10.png"/></fig><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Characteristics of gradations from the cores of existing dams</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Source</th><th align="center" valign="middle" >Gradation</th><th align="center" valign="middle" >D<sub>max</sub> (mm)</th><th align="center" valign="middle" >Fines content (%)<sup>a</sup></th><th align="center" valign="middle" >Finer fraction (%)<sup>b </sup></th><th align="center" valign="middle" >C<sub>u</sub> = d<sub>60</sub>/d<sub>10</sub></th><th align="center" valign="middle" >Summary of test results</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >Lafleur and Nguyen [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>]</td><td align="center" valign="middle" >S28</td><td align="center" valign="middle" >37.5</td><td align="center" valign="middle" >28 (36)</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >Stable</td></tr><tr><td align="center" valign="middle" >S17</td><td align="center" valign="middle" >37.5</td><td align="center" valign="middle" >17 (20)</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >Stable</td></tr><tr><td align="center" valign="middle" >S10</td><td align="center" valign="middle" >37.5</td><td align="center" valign="middle" >10 (12)</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >Unstable</td></tr><tr><td align="center" valign="middle" >S7</td><td align="center" valign="middle" >37.5</td><td align="center" valign="middle" >7 (8)</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >Unstable</td></tr><tr><td align="center" valign="middle" >Wan [<xref ref-type="bibr" rid="scirp.52491-ref9">9</xref>]</td><td align="center" valign="middle" >RD</td><td align="center" valign="middle" >9.5</td><td align="center" valign="middle" >22 (23)</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >Stable</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Moffat et al. [<xref ref-type="bibr" rid="scirp.52491-ref10">10</xref>]</td><td align="center" valign="middle" >C-20</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >20 (26)</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >Unstable</td></tr><tr><td align="center" valign="middle" >C-30</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >30 (33)</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >Unstable</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Hunter et al. [<xref ref-type="bibr" rid="scirp.52491-ref11">11</xref>]</td><td align="center" valign="middle" >FG1</td><td align="center" valign="middle" >37.5</td><td align="center" valign="middle" >33 (43)</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >425</td><td align="center" valign="middle" >Stable</td></tr><tr><td align="center" valign="middle" >CG3</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >17 (36)</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >147</td><td align="center" valign="middle" >Unstable</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Lilja et al. [<xref ref-type="bibr" rid="scirp.52491-ref12">12</xref>]</td><td align="center" valign="middle" >Mr3</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >22 (29)</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >Unstable</td></tr><tr><td align="center" valign="middle" >Mr19</td><td align="center" valign="middle" >31.5</td><td align="center" valign="middle" >38 (41)</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >Unstable</td></tr></tbody></table></table-wrap><p><sup>a</sup>Mass passing 0.075 mm of the full sample; brackets indicate that it is regraded to #4 sieve (i.e., 4.75 mm); <sup>b</sup>Point of inflection on the gradation curve.</p><p>4.75 mm sieve) of 8% to 43% and coefficients of uniformity (C<sub>u</sub> = d<sub>60</sub>/d<sub>10</sub>) of 6 to 425 (<xref ref-type="table" rid="table1">Table 1</xref>). Several of the gradations have finer fractions that exceed 35% (i.e., gradations S28, S17, RD, FG1, and Mr19) and are thus potentially not susceptible to suffusion. This will be addressed in the analyses in the following sections.</p></sec><sec id="s5_2"><title>5.2. Database of Existing Dams with Cores of Glacial Till</title><p>In a study of the possibility of extending the Kenney-Lau method [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref16">16</xref>] to gradations that include a fraction of non-cohesive silt, specifically glacial till, the gradations of the core soil of glacial till belonging to 74 existing dams were analyzed [<xref ref-type="bibr" rid="scirp.52491-ref14">14</xref>] . Performance monitoring data described in published and unpublished reports were used to identify 23 of the dams in which internal erosion has been documented; the other 51 dams have no records of deficiencies that can be reasonably attributed to internal erosion. Thus, the dams were sorted into 1) dams with the probable occurrence of internal erosion, and 2) dams with no observations that indicate internal erosion.</p><sec id="s5_2_1"><title>5.2.1. Reducing the Influence of the Filter</title><p>The comparative analysis was performed on dams within the same range of filter coarseness to minimize the influence of the filter (i.e., filter D<sub>15</sub>) on internal erosion and increase the influences of the core and a potential subordinate cause of internal erosion (e.g., core internal instability) [<xref ref-type="bibr" rid="scirp.52491-ref14">14</xref>] .</p><p>Foster and Fell [<xref ref-type="bibr" rid="scirp.52491-ref31">31</xref>] advocate three empirical boundaries for soil retention: a No Erosion (NE) boundary, an Excessive Erosion (EE) boundary, and a Continuing Erosion (CE) boundary. A Some Erosion zone with base soil retention is located between the NE and EE boundaries. This zone, which varied between D<sub>15</sub> = 0.7 mm and approximately 6 mm for the analyzed gradations in this study, was present in 44 of the 74 dams, thus distinguishing a group of dams within the same filter coarseness range [<xref ref-type="bibr" rid="scirp.52491-ref14">14</xref>] .</p></sec><sec id="s5_2_2"><title>5.2.2. Select Gradations for Analysis</title><p>Given that neither soils with excessive finer fraction nor glacial till with excessive fines content are susceptible to suffusion [<xref ref-type="bibr" rid="scirp.52491-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>] , the population of dams was screened accordingly. Thirteen dams remained after screening out dams with finer content &gt; 35% and fines content &gt; 30% (based on the average values obtained from the soil’s gradation envelope); these dams have thus gradations that are possibly susceptible to suffusion. Five are dams with performance history of internal erosion (i.e., probable occurrence of internal erosion) (<xref ref-type="table" rid="table2">Table 2</xref>, <xref ref-type="table" rid="table3">Table 3</xref>). The gradation analyses established the most vulnerable gradation curve of the available grain size distributions for each dam (<xref ref-type="fig" rid="fig6">Figure 6</xref>, <xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s5_2_3"><title>5.2.3. Characteristics of Gradations</title><p>The soils are cohesionless glacial tills with low to zero clay content and non-plastic or low-plasticity fines. Gradations denoted A, L, N, P and S represent dams considered to have a probable occurrence of internal erosion</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Characteristics of gradations from existing dam cores</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Source</th><th align="center" valign="middle" >Denotation</th><th align="center" valign="middle" >D<sub>max</sub> (mm)</th><th align="center" valign="middle" >Fines content (%)<sup>a</sup></th><th align="center" valign="middle" >Finer fraction (%)<sup>b </sup></th><th align="center" valign="middle" >C<sub>u</sub> = d<sub>60</sub>/d<sub>10</sub></th><th align="center" valign="middle" >Performance in terms of internal erosion</th></tr></thead><tr><td align="center" valign="middle"  rowspan="13"  >R&#246;nnqvist and Viklander [<xref ref-type="bibr" rid="scirp.52491-ref14">14</xref>]</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >16 (21)</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >No observations<sup>c </sup></td></tr><tr><td align="center" valign="middle" >11</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >10 (11)</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >No observations<sup>c</sup></td></tr><tr><td align="center" valign="middle" >17</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >32 (35)</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >No observations<sup>c</sup></td></tr><tr><td align="center" valign="middle" >22</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >24 (28)</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >No observations<sup>c</sup></td></tr><tr><td align="center" valign="middle" >26</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >18 (21)</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >No observations<sup>c</sup></td></tr><tr><td align="center" valign="middle" >37</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >38 (54)</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >133</td><td align="center" valign="middle" >No observations<sup>c</sup></td></tr><tr><td align="center" valign="middle" >45</td><td align="center" valign="middle" >128</td><td align="center" valign="middle" >11 (15)</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >No observations<sup>c</sup></td></tr><tr><td align="center" valign="middle" >54</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >18 (35)</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >133</td><td align="center" valign="middle" >No observations<sup>c</sup></td></tr><tr><td align="center" valign="middle" >A</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >32 (53)</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >1357</td><td align="center" valign="middle" >Probable occurrence<sup>d</sup></td></tr><tr><td align="center" valign="middle" >L</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >19 (24)</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >Probable occurrence<sup>d</sup></td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >20 (34)</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >200</td><td align="center" valign="middle" >Probable occurrence<sup>d</sup></td></tr><tr><td align="center" valign="middle" >P</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >12 (16)</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >Probable occurrence<sup>d</sup></td></tr><tr><td align="center" valign="middle" >S</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >11 (18)</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >Probable occurrence<sup>d</sup></td></tr></tbody></table></table-wrap><p><sup>a</sup>Mass passing 0.075 mm of the full sample; brackets indicate that it is regraded to #4 sieve (i.e., 4.75 mm); <sup>b</sup>Point of inflection on the gradation curve; <sup>c</sup>No observations to indicate internal erosion; <sup>d</sup>Probable occurrence of internal erosion.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Summary of performance record in terms of internal erosion for dams with probable occurrence of internal erosion</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Source</th><th align="center" valign="middle" >Denotation</th><th align="center" valign="middle" >Dam and year of completion</th><th align="center" valign="middle" >Country</th><th align="center" valign="middle" >Performance record</th></tr></thead><tr><td align="center" valign="middle"  rowspan="5"  >R&#246;nnqvist and Viklander [<xref ref-type="bibr" rid="scirp.52491-ref14">14</xref>]</td><td align="center" valign="middle" >A</td><td align="center" valign="middle" >Hytteljuvet (1965)</td><td align="center" valign="middle" >Norway</td><td align="center" valign="middle" >Muddy discharge upon first filling and subsequently over time, and a sinkhole incident in 1972. Exploratory borings showed locally large flows [<xref ref-type="bibr" rid="scirp.52491-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref33">33</xref>] .</td></tr><tr><td align="center" valign="middle" >L</td><td align="center" valign="middle" >L&#246;v&#246;n (1973)</td><td align="center" valign="middle" >Sweden</td><td align="center" valign="middle" >Sinkhole incidents in 1983 and 1986. Investigations showed a loss of fines in the core, loose zones, cavities and elevated pore pressures, as well as signs of suffused and piped core materials and clogging of fines against the filter face [<xref ref-type="bibr" rid="scirp.52491-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref34">34</xref>] .</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >Viddalsvattn (1971)</td><td align="center" valign="middle" >Norway</td><td align="center" valign="middle" >Increased seepage flow with muddy discharge upon first filling and subsequently over time and a sinkhole incident in 1973 [<xref ref-type="bibr" rid="scirp.52491-ref35">35</xref>] .</td></tr><tr><td align="center" valign="middle" >P</td><td align="center" valign="middle" >Porjus (1975)</td><td align="center" valign="middle" >Sweden</td><td align="center" valign="middle" >Sinkhole incident upon first filling and sinkhole incidents in 1979, 1985 and 1993 with increased seepage flow. Investigations showed erosion of the core and high pore pressures in the filter [<xref ref-type="bibr" rid="scirp.52491-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref36">36</xref>] .</td></tr><tr><td align="center" valign="middle" >S</td><td align="center" valign="middle" >Songa (1962)</td><td align="center" valign="middle" >Norway</td><td align="center" valign="middle" >Muddy discharge in 1991 and settlement on the crest. Investigations showed loose zones in the core and zones of water loss [<xref ref-type="bibr" rid="scirp.52491-ref37">37</xref>] .</td></tr></tbody></table></table-wrap><fig id="fig6"  position="float"><label><xref ref-type="fig" rid="fig6">Figure 6</xref></label><caption><title> Compilation of glacial till gradations from cores of existing dams, some of which have experienced internal erosion (after [<xref ref-type="bibr" rid="scirp.52491-ref14">14</xref>] )</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x11.png"/></fig><p>(<xref ref-type="table" rid="table2">Table 2</xref>). Details of the performance record for these dams reveals incidents of high piezometric water levels, increased seepage flow, and muddy discharge, in many cases accompanied by sinkhole activity; all of these are indications of probable occurrence of internal erosion (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>The fines content (passing 0.075 mm when regraded on the 4.75 mm sieve) of the glacial tills varies from 11% to 54% with coefficients of uniformity ranging from 8 to 1357 (<xref ref-type="table" rid="table2">Table 2</xref>). One of the gradations has a finer fraction greater than 35% (39%; gradation 22) and is thus potentially not susceptible to suffusion. This will be addressed in the analyses in the following sections.</p></sec></sec></sec><sec id="s6"><title>6. Empirical Analysis of Internal Instability Using Existing Methods</title><sec id="s6_1"><title>6.1. The Kenney-Lau Approach</title><p>The Kenney-Lau method [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref16">16</xref>] evaluates the potential for internal stability by analyzing the shape of the finer end of the gradation curve. The Li-Fannin adaptation [<xref ref-type="bibr" rid="scirp.52491-ref27">27</xref>] incorporates the Kezdi [<xref ref-type="bibr" rid="scirp.52491-ref25">25</xref>] split-gradation method. The H:F-shape curves of the most vulnerable core gradations are shown in <xref ref-type="fig" rid="fig7">Figure 7</xref>, and the corresponding stability indexes (i.e., H/F<sub>min</sub>) are shown in <xref ref-type="fig" rid="fig8">Figure 8</xref>(a). The stability index is the smallest value along the H:F curve within the evaluation range is mass passing 0 to 20% (for widely graded materials, C<sub>u</sub> = d<sub>60</sub>/d<sub>10</sub> &gt; 3), as indicated in <xref ref-type="fig" rid="fig7">Figure 7</xref> and <xref ref-type="fig" rid="fig8">Figure 8</xref>).</p><p>A summary of the analyses (<xref ref-type="table" rid="table4">Table 4</xref>) shows that the Kenney-Lau method identifies 75% of the unstable gradations and that 56% of the potentially unstable gradations are gradations that tested or performed as unstable (<xref ref-type="fig" rid="fig8">Figure 8</xref>(a)). Disregarding the gradations with finer fraction &gt; 35% (not susceptible to suffusion), 82% of the unstable gradations were identified. The equivalent values for the Li-Fannin adaptation are 67% and 67%, respectively (<xref ref-type="fig" rid="fig8">Figure 8</xref>(b), <xref ref-type="table" rid="table4">Table 4</xref>).</p></sec><sec id="s6_2"><title>6.2. The Burenkova Approach</title><p>The Burenkova method [<xref ref-type="bibr" rid="scirp.52491-ref17">17</xref>] evaluates the potential for internal instability using a characteristic value for the slope of the coarser fraction (D<sub>90</sub>/D<sub>60</sub>) and the overall slope of the gradation curve (D<sub>90</sub>/D<sub>15</sub>). The Wan-Fell adaptation [<xref ref-type="bibr" rid="scirp.52491-ref22">22</xref>] incorporates a probabilistic approach within the same framework of the grain size ratio. The distribution of gradations from the Burenkova method is given in <xref ref-type="fig" rid="fig9">Figure 9</xref>, and the distribution from the Wan-Fell adaptation is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>0.</p><p>A summary of the analyses (<xref ref-type="table" rid="table4">Table 4</xref>) of the most vulnerable core gradations shows that the Burenkova method identifies 58% of the unstable gradations and that 47% of the potentially unstable gradations are gradations which have tested or performed as unstable (<xref ref-type="fig" rid="fig9">Figure 9</xref>). The equivalent values for the Wan-Fell adaptation are 8% and 50%, respectively (<xref ref-type="fig" rid="fig1">Figure 1</xref>0, <xref ref-type="table" rid="table4">Table 4</xref>) for a greater than 5% probability of internal instability (for silt-sand-gravel soils and clay-silt-sand-gravel soils with limited clay contents and plasticity).</p><fig id="fig7"  position="float"><label><xref ref-type="fig" rid="fig7">Figure 7</xref></label><caption><title> H:F-shape curves obtained by applying the Kenney-Lau method</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x12.png"/></fig><fig-group id="fig8"><label><xref ref-type="fig" rid="fig8">Figure 8</xref></label><caption><title> Stability indexes (H/F)<sub>min</sub> compared to the boundary of (a) the Kenney-Lau method and (b) the Li-Fannin adaptation.</title></caption><fig id ="fig8_1"><label>(b)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x13.png"/></fig><fig id ="fig8_2"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x14.png"/></fig></fig-group><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Summary of test results from gradation analyses of glacial till core specimens</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Empirical Criteria</th><th align="center" valign="middle" >Identified unstable gradations (%)</th><th align="center" valign="middle" >Unstable gradations not identified</th><th align="center" valign="middle" >Potentially unstable with unstable performance (either in laboratory tests or in-situ at dams)</th></tr></thead><tr><td align="center" valign="middle" >Kenney-Lau method [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref16">16</xref>]</td><td align="center" valign="middle" >75 (82<sup>a</sup>)</td><td align="center" valign="middle" >S7, S10, Mr19</td><td align="center" valign="middle" >56 (69<sup>a</sup>)</td></tr><tr><td align="center" valign="middle" >Li-Fannin adaptation [<xref ref-type="bibr" rid="scirp.52491-ref27">27</xref>]</td><td align="center" valign="middle" >67 (73<sup>a</sup>)</td><td align="center" valign="middle" >S7, S10, Mr19, S</td><td align="center" valign="middle" >67 (89<sup>a</sup>)</td></tr><tr><td align="center" valign="middle" >Burenkova method (zone I or III) [<xref ref-type="bibr" rid="scirp.52491-ref17">17</xref>]</td><td align="center" valign="middle" >58 (55<sup>a</sup>)</td><td align="center" valign="middle" >S7, S10, Mr3, CG3, A</td><td align="center" valign="middle" >47 (55<sup>a</sup>)</td></tr><tr><td align="center" valign="middle" >Wan-Fell adaptation (&gt;5% probability) [<xref ref-type="bibr" rid="scirp.52491-ref22">22</xref>]</td><td align="center" valign="middle" >8 (9<sup>a</sup>)</td><td align="center" valign="middle" >S7, S10, Mr3, Mr19, C-20, C-30, A, L, N, P, S</td><td align="center" valign="middle" >50 (50<sup>a</sup>)</td></tr><tr><td align="center" valign="middle" >Wan-Fell alternative method [<xref ref-type="bibr" rid="scirp.52491-ref28">28</xref>]</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >S7, S10, Mr3, Mr19, C-20, C-30, A, L, P<sup>b</sup></td><td align="center" valign="middle" >0</td></tr></tbody></table></table-wrap><p><sup>a</sup>Results when gradations with finer fraction &gt; 35% are excluded (i.e., S17, S28, RD, FG1, Mr19 and 22); <sup>b</sup>Gradations RD, FG1, CG3, S, N, 11, 26 and 54 are not included because gradation data on minus #200 sieve are not available.</p><fig id="fig9"  position="float"><label><xref ref-type="fig" rid="fig9">Figure 9</xref></label><caption><title> Distribution of gradations obtained by applying the Burenkova method</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x15.png"/></fig><fig id="fig10"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref>0</label><caption><title> Distribution of gradations obtained by applying the Wan-Fell adaptation with contours of the probability of internal instability</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x16.png"/></fig></sec><sec id="s6_3"><title>6.3. The Wan-Fell Alternative Method</title><p>Recognizing that the Burenkova approach may not provide accurate predictions for gradations that are uniform in the coarse fraction and broad in the finer fraction, Wan and Fell [<xref ref-type="bibr" rid="scirp.52491-ref28">28</xref>] proposed that the potential for internal instability in these broadly graded soils be evaluated using the same characteristic D<sub>90</sub>/D<sub>60</sub> value for the coarser fraction but with a value of D<sub>20</sub>/D<sub>5</sub> for the finer fraction. The distribution of gradations is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>1.</p><p>A summary of the analyses (<xref ref-type="table" rid="table4">Table 4</xref>) for the most vulnerable core gradation shows that the Wan-Fell alternative method predicts that none of the gradations are potentially unstable (located in the unstable or transition region).</p></sec></sec><sec id="s7"><title>7. Discussion</title><p>Although the soils investigated by Kenney and Lau [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] are cohesionless sand and gravels without fines, experimental observations indicate that the Kenney-Lau method may also apply to soils that have a fraction of non-plastic silt [<xref ref-type="bibr" rid="scirp.52491-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref38">38</xref>] . In addition, the Li and Fannin [<xref ref-type="bibr" rid="scirp.52491-ref27">27</xref>] adaptation of the Kenney-Lau approach to broadly graded soils with some fines appears to be more reliable [<xref ref-type="bibr" rid="scirp.52491-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref39">39</xref>] and provide a less conservative analysis</p><fig id="fig11"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref>1</label><caption><title> Distribution of gradations obtained by applying the Wan-Fell alternative method for broadly graded soils (gradations RD, FG1, CG3, S, N, 11, 26 and 54 are not included due to data on minus #200 sieve are not available)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x17.png"/></fig><p>[<xref ref-type="bibr" rid="scirp.52491-ref14">14</xref>] . However, Burenkova [<xref ref-type="bibr" rid="scirp.52491-ref17">17</xref>] tested some silt-sand-gravel soils, and Wan and Fell [<xref ref-type="bibr" rid="scirp.52491-ref22">22</xref>] , who adapted the Burenkova method, focused on broadly graded soils that contain silt and clay.</p><p>The comparative analysis indicates that both the Kenney-Lau approach and the Burenkova method have merit in terms evaluating the internal stability of glacial till gradations, and a closer analysis indicates that the Kenney-Lau method has better predictive ability, particularly with its Li-Fannin adaptation (<xref ref-type="table" rid="table4">Table 4</xref>). However, the Wan-Fell adaptation [<xref ref-type="bibr" rid="scirp.52491-ref22">22</xref>] (<xref ref-type="fig" rid="fig1">Figure 1</xref>0) and the Wan-Fell alternative method [<xref ref-type="bibr" rid="scirp.52491-ref28">28</xref>] (<xref ref-type="fig" rid="fig1">Figure 1</xref>1) appear to be less successful for glacial till gradations. <xref ref-type="fig" rid="fig1">Figure 1</xref>2 compiles the 20 gradations that Wan-Fell tested and based their methods on; unstable results in the UNSW tests are shown as red lines in the particle size distributions, while stable are shown as green lines. Although the tested soils include a wide range of gradations, they are mostly gap-graded or steep-sloped in the coarser fraction and flat in the finer, which is relatively uncharacteristic of the typically smooth gradations of the well-graded glacial tills investigated in this paper (compare with <xref ref-type="fig" rid="fig5">Figure 5</xref> and <xref ref-type="fig" rid="fig6">Figure 6</xref>). This may indicate the potentially limited predictive ability of these methods for glacial till gradations.</p><p>Interestingly, neither the Kenney-Lau approach nor the Burenkova successfully identifies the unstable gradations S7 and S10 that were tested by Lafleur and Nguyen [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>] (<xref ref-type="fig" rid="fig5">Figure 5</xref>, <xref ref-type="table" rid="table4">Table 4</xref>). Lafleur and Nguyen [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>] argued that a glacial till sample would gradually become more susceptible to suffusion with decreasing fines content (which increases the upward concavity of the grading, thus potentially making it unstable). They found that over time, the fines-poor samples ultimately showed a loss of head near the filter interface (<xref ref-type="fig" rid="fig1">Figure 1</xref>3(a)), whereas the fines-rich samples exhibited a uniform head loss through the sample (<xref ref-type="fig" rid="fig1">Figure 1</xref>3(b)). The head loss in the fines-poor gradations was caused by the accumulation of migrating particles from clogging, and the migration of particles was possible due to internal instability. In contrast, the fines-rich samples behaved the same over time and showed no changes in gradation; thus, they were internally stable. Lafleur and Nguyen [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>] used a relatively fine-grained filter (i.e., filter paper with an opening size of 0.011 mm, which corresponds approximately to D<sub>15</sub> = 0.1 mm) as the interface with the glacial till. This would result in a “closed system that prevents loss of particles” [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] . In their internal stability tests, Kenney and Lau [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref16">16</xref>] abandoned the closed system for an open system to allow unrestricted seepage from the base through the filter. They found that the open system facilitated the monitoring and the subsequent interpretation of the tests. Furthermore, Kenney and Lau [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] usually found that unstable soil exhibited a top transition zone, a central homogenous zone, and a bottom transition zone [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] . Thus, Kenney and Lau [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] concluded that any coarsening of the top transition zone proved the existence of loose movable particles, whereas Lafleur and Nguyen [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>] interpreted head loss against the filter (due to accumulation of migrating fines) and increase in fines content as indications of internal instability. In the specimens determined as unstable by Lafleur and Nguyen [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>] , namely the glacial tills with fines less than 12% (at a D<sub>max</sub> of 38 mm), the fines content increased at the most from an initial 4% to 8% and for the specimen S10 analyzed herein from 10% to 13% (<xref ref-type="fig" rid="fig1">Figure 1</xref>3(c)), thus a relatively small change. It is possible that the methods</p><fig id="fig12"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref>2</label><caption><title> Compilation of gradations tested by Wan-Fell and UNSW (adapted after [<xref ref-type="bibr" rid="scirp.52491-ref9">9</xref>] )</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x18.png"/></fig><p>investigated in this study are too crude to identify instability from such a minute change in gradation.</p><p>An inspection of the shapes of the gradations investigated in this study reveals that S17, S28, RD, FG1, Mr19 and 22 (<xref ref-type="fig" rid="fig5">Figure 5</xref>, <xref ref-type="fig" rid="fig6">Figure 6</xref>) have finer fraction in excess of 35% and thus are potentially not susceptible to suffusion (<xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="table" rid="table2">Table 2</xref>). When these samples are excluded, the predictive ability of the methods generally increases, most notably for the Li-Fannin adaptation because it identifies 73% of the unstable gradations and determines that 89% of the potentially unstable gradations are gradations that have tested or performed as unstable (<xref ref-type="table" rid="table4">Table 4</xref>). <xref ref-type="fig" rid="fig1">Figure 1</xref>4 shows a plot of the stability indexes (H/F)<sub>min</sub> when gradations with finer fractions &gt; 35% are excluded.</p></sec><sec id="s8"><title>8. Conclusion</title><p>This paper investigates the applicability of available empirical methods for assessing the internal stability of glacial tills. A database of 24 gradations was compiled. The database incorporates experimental gradations from laboratory studies in the literature and selected gradations from existing dams, some of which have experienced internal erosion. Internal instability may cause suffusion, which is an initiation mechanism of internal erosion. Two approaches are used to evaluate the internal stability: the Kenney-Lau method [<xref ref-type="bibr" rid="scirp.52491-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.52491-ref16">16</xref>] , which analyses the shape of the gradation curve; and the Burenkova method [<xref ref-type="bibr" rid="scirp.52491-ref17">17</xref>] , which uses characteristic values of the slope of the gradation (factors of uniformity). The shape analysis of the gradations and the comparative analysis of the methods presented in this study indicate that both the Kenney-Lau method and the Burenkova method have merit, but a closer analysis indicates that the Kenney-Lau method has relatively better predictive ability based on the glacial till gradations analyzed in this study; when the Li-Fannin [<xref ref-type="bibr" rid="scirp.52491-ref27">27</xref>] adaptation is used, 73% of the unstable</p><fig-group id="fig13"><label><xref ref-type="fig" rid="fig1">Figure 1</xref>3</label><caption><title> Suffusion tests by Lafleur-Nguyen showing head losses over time for (a) internally unstable base S11, (b) internally stable base S17, and (c) change in fines content for stable and unstable till specimens (adapted after [<xref ref-type="bibr" rid="scirp.52491-ref8">8</xref>] ).</title></caption><fig id ="fig13_1"><label> (b)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x20.png"/></fig><fig id ="fig13_2"><label>(c)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x19.png"/></fig><fig id ="fig13_3"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x21.png"/></fig></fig-group><fig id="fig14"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref>4</label><caption><title> Plot of stability indexes (H/F)<sub>min</sub> when excluding gradations with finer fraction &gt; 35%</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1110099x22.png"/></fig><p>gradations are identified and it determines that 89% of the potentially unstable gradations are gradations that tested or performed unstable (<xref ref-type="fig" rid="fig1">Figure 1</xref>4).</p></sec><sec id="s9"><title>Acknowledgements</title><p>The research presented was carried out as part of the “Swedish Hydropower Centre-SVC”. SVC has been established by the Swedish Energy Agency, Elforsk and Svenska Kraftn&#228;t together with Lule&#229; University of Technology, the Royal Institute of Technology, Chalmers University of Technology and Uppsala University.</p><p>The authors acknowledge with gratitude the financial support received from WSP Sweden.</p></sec><sec id="s10"><title>Notations</title><p>D: grain size (mm);</p><p>F: amount of mass passing at grain size D (%);</p><p>H: mass increment between D and 4D (%);</p><p>D<sub>max</sub>: maximum particle size of gradation (mm);</p><p>C<sub>u</sub>: coefficient of uniformity, d<sub>60</sub>/d<sub>10</sub>;</p><p>(H/F)<sub>min</sub>: stability index, defined by the smallest value of H/F, for 0 &lt; F ≤ 20% in soil with a widely graded coarse fraction and 0 &lt; F ≤ 30% in soils that are narrowly graded.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.52491-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Bernell, L. 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